Evidence map›Paper›PMID 30545124›Full record

ArticleCancers2018

Use of Germline Genetic Variability for Prediction of Chemoresistance and Prognosis of Breast Cancer Patients.

Viktor Hlavac, Maria Kovacova, Katerina Elsnerova, Veronika Brynychova, Renata Kozevnikovova, Karel Raus, Katerina Kopeckova, Sona Mestakova, David Vrana, Jiri Gatek and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

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  7. Consensus of experts from the Spanish Pharmacogenetics and Pharmacogenomics Society and the Spanish Society of Medical Oncology for the genotyping of DPYD in cancer patients who are candidates for treatment with fluoropyrimidines.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Viktor HlavacLaboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. viktor.hlavac@lfp.cuni.cz.ORCID 0000-0003-0695-0552
Maria KovacovaThird Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic. maria.kovacova@lf3.cuni.cz.
Katerina ElsnerovaLaboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. katka.michalka@post.cz.
Veronika BrynychovaLaboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. veronikabrynychova@seznam.cz.
Renata KozevnikovovaDepartment of Oncosurgery Medicon, 140 00 Prague, Czech Republic. renata.kozevnikovova@onko-centrum.cz.
Karel RausDepartment of Breast Services, Institute for the Care for Mother and Child, 147 00 Prague, Czech Republic. karel.raus@quick.cz.
Katerina KopeckovaDepartment of Oncology, Second Faculty of Medicine, Charles University and Motol University Hospital, 150 06 Prague, Czech Republic. katerina.kopeckova@fnmotol.cz.
Sona MestakovaDepartment of Surgery, Second Faculty of Medicine, Charles University and Motol University Hospital, 150 06 Prague, Czech Republic. sonamuf@yahoo.com.
David VranaDepartment of Oncology, Palacky University Medical School and Teaching Hospital, 771 47 Olomouc, Czech Republic. davvrana@gmail.com.ORCID 0000-0002-7419-822X
Jiri GatekDepartment of Surgery, EUC Hospital and University of Tomas Bata in Zlin, 760 01 Zlin, Czech Republic. gatekj@gmail.com.
Pavel OstasovLaboratory of Tumor Biology, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. pavel.ostasov@lfp.cuni.cz.ORCID 0000-0001-7168-6431
Radka VaclavikovaLaboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. rvaclavikova@seznam.cz.
Pavel SoucekLaboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, 323 00 Pilsen, Czech Republic. pavel.soucek@lfp.cuni.cz.
Charles University · CZMedicon · CZPalacký University Olomouc · CZTomas Bata University in Zlín · CZÚstav pro Péči o Matku a Dítě · CZ

Funding

Agentura Pro Zdravotnický Výzkum České Republiky 15-25618AGrantová Agentura, Univerzita Karlova 1776218
6 · The paper itself

Abstract

The aim of our study was to set up a panel for targeted sequencing of chemoresistance genes and the main transcription factors driving their expression and to evaluate their predictive and prognostic value in breast cancer patients. Coding and regulatory regions of 509 genes, selected from PharmGKB and Phenopedia, were sequenced using massive parallel sequencing in blood DNA from 105 breast cancer patients in the testing phase. In total, 18,245 variants were identified of which 2565 were novel variants (without rs number in dbSNP build 150) in the testing phase. Variants with major allele frequency over 0.05 were further prioritized for validation phase based on a newly developed decision tree. Using emerging in silico tools and pharmacogenomic databases for functional predictions and associations with response to cytotoxic therapy or disease-free survival of patients, 55 putative variants were identified and used for validation in 805 patients with clinical follow up using KASP

Indexed as

breast cancerchemoresistancein silico predictionnext generation sequencingpharmacogenomics

Identifiers

PMID30545124
PMCPMC6316878
OpenAlexW2904477935

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.